Hybrid Model In Machine Learning With Robust Regression For Handling Multicollinearity Outlier In Big Data And Its Application To Agriculture

In this research, 29 independent single variables and 435 independent interaction variables were identified. The limitation of this research were to address the problems such as irrelevant variables, multicollinearity and outliers.

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Bibliographic Details
Main Author: ., Mukhtar
Format: Thesis
Language:English
Published: 2023
Subjects:
Online Access:http://eprints.usm.my/60294/1/Pages%20from%20MUKHTAR%20-%20TESIS.pdf
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Summary:In this research, 29 independent single variables and 435 independent interaction variables were identified. The limitation of this research were to address the problems such as irrelevant variables, multicollinearity and outliers.